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Journal articles on the topic 'Hybrid methodology'

Author: Grafiati
Published: 4 June 2021
Last updated: 27 April 2022

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1

Caginalp, G., and V. Ilieva. "Hybrid methodology for technical analysis." Nonlinear Analysis: Hybrid Systems 2, no. 4 (November 2008): 1144–51. http://dx.doi.org/10.1016/j.nahs.2008.09.007.

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Klocke, Fritz, Andreas Roderburg, and Christoph Zeppenfeld. "Design methodology for hybrid production processes." Procedia Engineering 9 (2011): 417–30. http://dx.doi.org/10.1016/j.proeng.2011.03.130.

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Bennington, Lynne, and James Cummane. "Measuring service quality: A hybrid methodology." Total Quality Management 9, no. 6 (August 1998): 395–405. http://dx.doi.org/10.1080/0954412988343.

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Skolud, B., and A. Szopa. "Production planning methodology in hybrid systems." IOP Conference Series: Materials Science and Engineering 400 (September 18, 2018): 062027. http://dx.doi.org/10.1088/1757-899x/400/6/062027.

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5

Pereira, Teresa, and Fernanda A. Ferreira. "An ERP selection using a hybrid methodology." Journal of Computational Methods in Sciences and Engineering 20, no. 3 (September 30, 2020): 689–95. http://dx.doi.org/10.3233/jcm-194011.

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With this work, we developed a multi-criteria decision-making model to assess and select an Enterprise Resource Planning (ERP), using a multi-criteria decision analysis (MCDA). A hybrid multi-criteria methodology is used for the assessment and selection of an ERP, combining the MMASSI/IT methodology, which is used to both define the relevant family of criteria, based on their features and flexibility to change and adapt to a given scope, and the weight of criteria. Then, the well-known Analytic Hierarchy Process (AHP) methodology is used to perform the decision-makers’ value function elicitation preference of alternatives pairwise comparison in each criterion. The additive aggregation is used to compute the alternatives global score. The proposed hybrid model was validated in an industrial context by three Decision-makers.
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Ting, Jacky Siu-Lun, Siu-Keung Kwok, and Albert Hing-Choi Tsang. "Hybrid Risk Management Methodology: A Case Study." International Journal of Engineering Business Management 1 (March 2009): 3. http://dx.doi.org/10.5772/6783.

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Cheng, D. L., Kwang-Ting Cheng, D. C. Wang, and M. Marek-Sadowska. "A hybrid methodology for switching activities estimation." IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 17, no. 4 (April 1998): 357–66. http://dx.doi.org/10.1109/43.703825.

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Chakraborty, Tanujit, Swarup Chattopadhyay, and Indrajit Ghosh. "Forecasting dengue epidemics using a hybrid methodology." Physica A: Statistical Mechanics and its Applications 527 (August 2019): 121266. http://dx.doi.org/10.1016/j.physa.2019.121266.

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Liebrock, L. M., and S. P. Goudy. "Methodology for modelling SPMD hybrid parallel computation." Concurrency and Computation: Practice and Experience 20, no. 8 (2008): 903–40. http://dx.doi.org/10.1002/cpe.1214.

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Cheng, Siyuan, Xiangwei Zhang, and Guoxin Yu. "A hybrid surfacing methodology for reverse engineering." Virtual and Physical Prototyping 4, no. 1 (March 2009): 11–19. http://dx.doi.org/10.1080/17452750802650470.

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Hudic, Aleksandar, Paul Smith, and Edgar R. Weippl. "Security assurance assessment methodology for hybrid clouds." Computers & Security 70 (September 2017): 723–43. http://dx.doi.org/10.1016/j.cose.2017.03.009.

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Briones, Francisco Zorrilla, Jaime Sánchez Leal, and Inocente Yuliana Meléndez Pastrana. "Armentum: a hybrid direct search optimization methodology." Journal of Industrial Engineering International 12, no. 4 (July 16, 2016): 407–17. http://dx.doi.org/10.1007/s40092-016-0159-5.

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13

Gradeci, K., and M. Sletnes. "The Hybrid-Agile Design of Experiments Methodology." Journal of Physics: Conference Series 2069, no. 1 (November 1, 2021): 012039. http://dx.doi.org/10.1088/1742-6596/2069/1/012039.

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Abstract A DOE (Design of Experiments) is the laying out of a detailed experimental plan in advance of doing the experiment. Optimal DOEs maximize the amount of information that can be obtained for a given amount of experimental effort. The traditional DOE methodology is waterfall-type methodology implying a sequential and linear life-cycle process. The success of the experiment and usefulness of the results are highly dependent on the initial experimental setup and assumptions, and does not allow to go back and change something that was not well-documented or thought upon in the design stage. The fast-changing software development industry have made it understandable that the traditional waterfall methodology for developing systems, which follows similar patters to the traditional DOE, lacks the agility required for developing robust systems. These limitations have triggered the development of agile: a type of incremental model of software development based on principles that focuses more on flexible responses to change, instead of in-depth planning at the design stage. This paper proposes the hybrid-agile DOE methodology – a methodology that incorporates agile principles in traditional waterfall DOE methodologies – to design effective experimental layouts that allow for improvement during the experimental trial process. The methodology is applied to the natural ageing of adhesives tapes for building applications. This methodology can overcome traditional DOE, by adding agility in the whole process, especially in cases where the investigated products lack prior information and are characterised by large variability.
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14

Waeto, Salwa, Khanchit Chuarkham, and Arthit Intarasit. "Forecasting Time Series Movement Direction with Hybrid Methodology." Journal of Probability and Statistics 2017 (2017): 1–8. http://dx.doi.org/10.1155/2017/3174305.

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Forecasting the tendencies of time series is a challenging task which gives better understanding. The purpose of this paper is to present the hybrid model of support vector regression associated with Autoregressive Integrated Moving Average which is formulated by hybrid methodology. The proposed model is more convenient for practical usage. The tendencies modeling of time series for Thailand’s south insurgency is of interest in this research article. The empirical results using the time series of monthly number of deaths, injuries, and incidents for Thailand’s south insurgency indicate that the proposed hybrid model is an effective way to construct an estimated hybrid model which is better than the classical time series model or support vector regression. The best forecast accuracy is performed by using mean square error.
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15

Jacobson, Kevin E., and Marilyn J. Smith. "Carefree Hybrid Methodology for Rotor Hover Performance Analysis." Journal of Aircraft 55, no. 1 (January 2018): 52–65. http://dx.doi.org/10.2514/1.c034112.

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Abdallah, Wissam, Nassib Abdallah, Jean-Marie Marion, Mohamad Oueidat, and Pierre Chauvet. "A Hybrid Methodology for Short Term Temperature Forecasting." International Journal of Intelligence Science 10, no. 03 (2020): 65–81. http://dx.doi.org/10.4236/ijis.2020.103005.

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17

Sahu, Anoop Kumar, Nitin Kumar Sahu, and Atul Kumar Sahu. "Benchmarking CNC Machine Tool Using Hybrid-Fuzzy Methodology." International Journal of Fuzzy System Applications 4, no. 2 (April 2015): 28–46. http://dx.doi.org/10.4018/ijfsa.2015040103.

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In today's era, managerial decision making has become a very momentous component due to the leverage of attention on achieving organizational goal i.e. enhancing effective utilization of input assets, satisfying customers' demand and minimizing loss (maximize profit). The evaluation of the most appropriate Computer Numerical Control (CNC) machine tool has become one of the key factors for sustaining the organization/manufacturing sectors/production units at competitive global market place. Productivity, precision and accuracy etc. are the most important issues behind adaptation/exploration of CNC machine tools. So, in such a cases, subjective indices are considered beside the objective indices and complexity of the CNC machine tool evaluation decision problems is solved via subjective assessments (judgment) of expert panel, also called the decision-making group. In this reporting, TOPSIS (technique for order preference by similarity to ideal solution) based Multi-Criteria Decision Making (MCDM) approach has fruitfully applied to emphasize the decision making scenario at the subjective information evaluation index (indices) platform. So, TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) analytical methodology conjunction with Trapezoidal Fuzzy Number (TFN) has been explored for assessing and benchmarking the most preferable CNC machine tool from a group of preferred options/alternatives. Finally, an empirical case study has been carried out check the feasibility, efficiency and validity of proposed methodology and the benchmarking of preferred alternative machine tool has been derived in accordance with descending value of the ‘collective index'. Higher value of ‘collective index' reflects higher degree of performance extent.
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18

Nalepa, Grzegorz, and Antoni Ligęza. "The HeKatE methodology. Hybrid engineering of intelligent systems." International Journal of Applied Mathematics and Computer Science 20, no. 1 (March 1, 2010): 35–53. http://dx.doi.org/10.2478/v10006-010-0003-9.

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The HeKatE methodology. Hybrid engineering of intelligent systemsThis paper describes a new approach, the HeKatE methodology, to the design and development of complex rule-based systems for control and decision support. The main paradigm for rule representation, namely, eXtended Tabular Trees (XTT), ensures high density and transparency of visual knowledge representation. Contrary to traditional, flat rule-based systems, the XTT approach is focused on groups of similar rules rather than on single rules. Such groups form decision tables which are connected into a network for inference. Efficient inference is assured as only the rules necessary for achieving the goal, identified by the context of inference and partial order among tables, are fired. In the paper a new version of the language—XTT22—is presented. It is based on ALSV(FD) logic, also described in the paper. Another distinctive feature of the presented approach is a top-down design methodology based on successive refinement of the project. It starts with Attribute Relationship Diagram (ARD) development. Such a diagram represents relationships between system variables. Based on the ARD scheme, XTT tables and links between them are generated. The tables are filled with expert-provided constraints on values of the attributes. The code for rule representation is generated in a humanreadable representation called HMR and interpreted with a provided inference engine called HeaRT. A set of software tools supporting the visual design and development stages is described in brief.
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19

Gerard, Jacqueline Carter, and Frances Lindley Arnold. "Performance Improvement with a Hybrid FOCUS-PDCA Methodology." Joint Commission Journal on Quality Improvement 22, no. 10 (October 1996): 660–72. http://dx.doi.org/10.1016/s1070-3241(16)30273-5.

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20

G, Sekhar Reddy. "Conceptual Design of Data Warehouse using Hybrid Methodology." International Journal of Advanced Trends in Computer Science and Engineering 9, no. 3 (June 25, 2020): 2567–73. http://dx.doi.org/10.30534/ijatcse/2020/13932020.

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21

Acid, Silvia, and Luis M. de Campos. "A hybrid methodology for learning belief networks: BENEDICT." International Journal of Approximate Reasoning 27, no. 3 (September 2001): 235–62. http://dx.doi.org/10.1016/s0888-613x(01)00041-x.

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22

Roy, Francis, Claude Gazo, Florence Ossart, and Claude Marchand. "TRIZ Methodology Adapted to Hybrid Powertrains Performances Evaluation." Procedia Engineering 131 (2015): 861–70. http://dx.doi.org/10.1016/j.proeng.2015.12.397.

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23

Panjkovic, Goran. "Hybrid charge preamplifiers—Design methodology and performance limits." Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 604, no. 1-2 (June 2009): 229–33. http://dx.doi.org/10.1016/j.nima.2009.01.057.

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24

Elasha, Faris, David Mba, Michael Togneri, Ian Masters, and Joao Amaral Teixeira. "A hybrid prognostic methodology for tidal turbine gearboxes." Renewable Energy 114 (December 2017): 1051–61. http://dx.doi.org/10.1016/j.renene.2017.07.093.

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25

Park, Junghun, Bowon Jung, and Okkyung Choi. "Two-Factor Authentication Methodology using Hybrid Face Recognition." International Journal of Control and Automation 9, no. 1 (January 31, 2016): 435–44. http://dx.doi.org/10.14257/ijca.2016.9.1.37.

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26

Marin, Mauricio, Veronica Gil-Costa, Alonso Inostrosa-Psijas, and Carolina Bonacic. "Hybrid capacity planning methodology for web search engines." Simulation Modelling Practice and Theory 93 (May 2019): 148–63. http://dx.doi.org/10.1016/j.simpat.2018.09.016.

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27

Rivette, M., J.-Y. Hacoët, and P. Mognol. "A graph-based methodology for hybrid rapid design." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 221, no. 4 (April 2007): 685–97. http://dx.doi.org/10.1243/09544054jem666.

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28

Kim, Yoon Jae, Sang Min Baek, Won Seok Oh, and Jeong In Go. "Simplified Design Methodology for Frequency Filtering Hybrid Composites." Journal of the Korean Society for Aeronautical & Space Sciences 47, no. 12 (December 31, 2019): 897–903. http://dx.doi.org/10.5139/jksas.2019.47.12.897.

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29

Kraemer, D., L. Hu, A. Muto, X. Chen, G. Chen, and M. Chiesa. "Photovoltaic-thermoelectric hybrid systems: A general optimization methodology." Applied Physics Letters 92, no. 24 (June 16, 2008): 243503. http://dx.doi.org/10.1063/1.2947591.

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30

Di, Tria, Ezio Lefons, and Filippo Tangorra. "Academic data warehouse design using a hybrid methodology." Computer Science and Information Systems 12, no. 1 (2015): 135–60. http://dx.doi.org/10.2298/csis140325087d.

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In the last years, data warehousing has got attention from Universities which are now adopting business intelligence solutions in order to analyze crucial aspects of the academic context. In this paper, we present the architecture of a Business Intelligence system for academic organizations. Then, we illustrate the design process of the data warehouse devoted to the analysis of the main factors affecting the importance and the quality level of every University, such as the evaluation of the Research and the Didactics. The design process we describe is based on a hybrid methodology that is largely automatic and relies on an ontological approach for the integration of the different data sources.
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31

Bezzo, F., S. Macchietto, and C. C. Pantelides. "A general methodology for hybrid multizonal/CFD models." Computers & Chemical Engineering 28, no. 4 (April 2004): 501–11. http://dx.doi.org/10.1016/j.compchemeng.2003.08.004.

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Bezzo, F., and S. Macchietto. "A general methodology for hybrid multizonal/CFD models." Computers & Chemical Engineering 28, no. 4 (April 2004): 513–25. http://dx.doi.org/10.1016/j.compchemeng.2003.08.010.

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33

Murray, Alan T., Tony H. Grubesic, Ran Wei, and Elizabeth A. Mack. "A Hybrid Geocoding Methodology for Spatio-Temporal Data." Transactions in GIS 15, no. 6 (November 22, 2011): 795–809. http://dx.doi.org/10.1111/j.1467-9671.2011.01289.x.

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Malham, Christelle Bou, Rodrigo Rivera Tinoco, Assaad Zoughaib, Denis Chretien, Mai Riche, and Nathalie Guintrand. "A novel hybrid exergy/pinch process integration methodology." Energy 156 (August 2018): 586–96. http://dx.doi.org/10.1016/j.energy.2018.05.082.

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Ali, Rahman, Muhammad Afzal, Maqbool Hussain, Maqbool Ali, Muhammad Hameed Siddiqi, Sungyoung Lee, and Byeong Ho Kang. "Multimodal hybrid reasoning methodology for personalized wellbeing services." Computers in Biology and Medicine 69 (February 2016): 10–28. http://dx.doi.org/10.1016/j.compbiomed.2015.11.013.

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Aladag, Cagdas Hakan, Erol Egrioglu, and Cem Kadilar. "Forecasting nonlinear time series with a hybrid methodology." Applied Mathematics Letters 22, no. 9 (September 2009): 1467–70. http://dx.doi.org/10.1016/j.aml.2009.02.006.

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Cotik, V., R. Romero Zaliz, and I. Zwir. "A hybrid promoter analysis methodology for prokaryotic genomes." Fuzzy Sets and Systems 152, no. 1 (May 2005): 83–102. http://dx.doi.org/10.1016/j.fss.2004.10.016.

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38

MURRI, G., and J. SCHAFF. "Fatigue life methodology for tapered hybrid composite flexbeams." Composites Science and Technology 66, no. 3-4 (March 2006): 499–508. http://dx.doi.org/10.1016/j.compscitech.2005.06.010.

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Tseng, Chih-Hsiung, Sheng-Tzong Cheng, and Yi-Hsien Wang. "RETRACTED: New hybrid methodology for stock volatility prediction." Expert Systems with Applications 36, no. 2 (March 2009): 1833–39. http://dx.doi.org/10.1016/j.eswa.2007.12.004.

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Araújo, Ricardo de A., Sergio Soares, and Adriano L. I. Oliveira. "Hybrid morphological methodology for software development cost estimation." Expert Systems with Applications 39, no. 6 (May 2012): 6129–39. http://dx.doi.org/10.1016/j.eswa.2011.11.077.

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Merzouk, Soukaina, Abdessamad Cherkaoui, Fatima-zahra Guerss, Abdelaziz Marzak, and Sael Nawal. "Smart Irrigation: case study for Hybrid-SIX methodology." Procedia Computer Science 191 (2021): 524–29. http://dx.doi.org/10.1016/j.procs.2021.07.077.

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42

Zhang, Xingliang, Fan Yang, Shenheng Xu, Abdul Aziz, and Maokun Li. "Hybrid Polarization-Phase Tuning Methodology for Reflectarray Antennas." IEEE Transactions on Antennas and Propagation 69, no. 9 (September 2021): 5534–45. http://dx.doi.org/10.1109/tap.2021.3060023.

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43

Yoo, Yongmin, Tak-Sung Heo, Yeongjoon Park, and Kyungsun Kim. "A Novel Hybrid Methodology of Measuring Sentence Similarity." Symmetry 13, no. 8 (August 6, 2021): 1442. http://dx.doi.org/10.3390/sym13081442.

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The problem of measuring sentence similarity is an essential issue in the natural language processing area. It is necessary to measure the similarity between sentences accurately. Sentence similarity measuring is the task of finding semantic symmetry between two sentences, regardless of word order and context of the words. There are many approaches to measuring sentence similarity. Deep learning methodology shows a state-of-the-art performance in many natural language processing fields and is used a lot in sentence similarity measurement methods. However, in the natural language processing field, considering the structure of the sentence or the word structure that makes up the sentence is also important. In this study, we propose a methodology combined with both deep learning methodology and a method considering lexical relationships. Our evaluation metric is the Pearson correlation coefficient and Spearman correlation coefficient. As a result, the proposed method outperforms the current approaches on a KorSTS standard benchmark Korean dataset. Moreover, it performs a maximum of a 65% increase than only using deep learning methodology. Experiments show that our proposed method generally results in better performance than those with only a deep learning model.
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López-Ortiz, Enrique J., Fernando Sancho-Caparrini, Miguel Á. Martínez-del-Amor, Luis M. Soria-Morillo, and Juan A. Álvarez-García. "Hybrid agent-based methodology for testing response protocols." Knowledge-Based Systems 222 (June 2021): 107005. http://dx.doi.org/10.1016/j.knosys.2021.107005.

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45

Khashei, Mehdi, and Mehdi Bijari. "A New Hybrid Methodology for Nonlinear Time Series Forecasting." Modelling and Simulation in Engineering 2011 (2011): 1–5. http://dx.doi.org/10.1155/2011/379121.

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Artificial neural networks (ANNs) are flexible computing frameworks and universal approximators that can be applied to a wide range of forecasting problems with a high degree of accuracy. However, using ANNs to model linear problems have yielded mixed results, and hence; it is not wise to apply them blindly to any type of data. This is the reason that hybrid methodologies combining linear models such as ARIMA and nonlinear models such as ANNs have been proposed in the literature of time series forecasting. Despite of all advantages of the traditional methodologies for combining ARIMA and ANNs, they have some assumptions that will degenerate their performance if the opposite situation occurs. In this paper, a new methodology is proposed in order to combine the ANNs with ARIMA in order to overcome the limitations of traditional hybrid methodologies and yield more general and more accurate hybrid models. Empirical results with Canadian Lynx data set indicate that the proposed methodology can be a more effective way in order to combine linear and nonlinear models together than traditional hybrid methodologies. Therefore, it can be applied as an appropriate alternative methodology for hybridization in time series forecasting field, especially when higher forecasting accuracy is needed.
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Ribó-Pérez, David, Paula Bastida-Molina, Tomás Gómez-Navarro, and Elías Hurtado-Pérez. "Hybrid assessment for a hybrid microgrid: A novel methodology to critically analyse generation technologies for hybrid microgrids." Renewable Energy 157 (September 2020): 874–87. http://dx.doi.org/10.1016/j.renene.2020.05.095.

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47

Powell, Martin, and Michele Castelli. "“Strange animals”: hybrid organisations in health care." Journal of Health Organization and Management 31, no. 7/8 (October 9, 2017): 746–62. http://dx.doi.org/10.1108/jhom-04-2017-0068.

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Purpose The purpose of this paper is to critically explore hybrid organisations in health care. It examines the broad literature on hybrids focusing on issues of perspective, definition, sub-type and level. It then presents the results of the literature review of hybrid health care organisations, exploring which organisations have been viewed as hybrids, and then examining studies in more detail with respect to the research questions. Design/methodology/approach It critically explores the literature on hybrid organisations in health care through a structured search. Findings It is found that a wide variety of hybrid forms exist, but not clear what they combine or how they combine it. However, the level of depth from some of these studies is rather limited, with little consensus on definition, and relatively few drawing on any explicit conceptual perspective. It seems that the wider hybridity literatures have limited influence of studies of hybrid health care organisations. Originality/value As far as the authors are aware, this paper is the first attempt to critically review the literature on hybrid organisations in health care. It is concluded that it is difficult to define and explain hybrid health care organisations. Health care hybrids appear to be chameleons as they appear to be able to change their form to different observers.
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Jenab, Kouroush, and Ahmad Sarfaraz. "Selecting Cell Phone Service Using Hybrid Decision Making Methodology." International Journal of Enterprise Information Systems 9, no. 1 (January 2013): 49–61. http://dx.doi.org/10.4018/jeis.2013010103.

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In an ever expanding connected world, mobile connectivity is essential in both commercial and private use. Selecting the best option has become increasingly difficult due to the many factors surrounding the selection of the best cell phone service providing company. Quantitative factors such as monthly price, total cell phone minutes, and phone cost are easily comparable. However, other qualitative factors such as signal coverage, vendor reputation, and customer support are not as easily analyzed. The need to make the correct decision when qualitative factors need to be considered has caused multi-criteria decision methodologies such as Analytical Hierarchy Process (AHP) to be applied in case studies. In this paper, the authors apply Fuzzy AHP to phone survey results and compare them to the original results. The multi-criteria decision methodology TOPSIS is used to demonstrate the differences between all decision methodologies.
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49

Finger, D. Felix, Cees Bil, and Carsten Braun. "Initial Sizing Methodology for Hybrid-Electric General Aviation Aircraft." Journal of Aircraft 57, no. 2 (March 2020): 245–55. http://dx.doi.org/10.2514/1.c035428.

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50

Georgiou, Konstantinos, Christos Makris, and Georgios Pispirigos. "A Distributed Hybrid Community Detection Methodology for Social Networks." Algorithms 12, no. 8 (August 17, 2019): 175. http://dx.doi.org/10.3390/a12080175.

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Nowadays, the amount of digitally available information has tremendously grown, with real-world data graphs outreaching the millions or even billions of vertices. Hence, community detection, where groups of vertices are formed according to a well-defined similarity measure, has never been more essential affecting a vast range of scientific fields such as bio-informatics, sociology, discrete mathematics, nonlinear dynamics, digital marketing, and computer science. Even if an impressive amount of research has yet been published to tackle this NP-hard class problem, the existing methods and algorithms have virtually been proven inefficient and severely unscalable. In this regard, the purpose of this manuscript is to combine the network topology properties expressed by the loose similarity and the local edge betweenness, which is a currently proposed Girvan–Newman’s edge betweenness measure alternative, along with the intrinsic user content information, in order to introduce a novel and highly distributed hybrid community detection methodology. The proposed approach has been thoroughly tested on various real social graphs, roundly compared to other classic divisive community detection algorithms that serve as baselines and practically proven exceptionally scalable, highly efficient, and adequately accurate in terms of revealing the subjacent network hierarchy.
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